diff --git a/binaries/speed_benchmark.cc b/binaries/speed_benchmark.cc
index f421928c7bcc9..627492f0b6102 100644
--- a/binaries/speed_benchmark.cc
+++ b/binaries/speed_benchmark.cc
@@ -48,9 +48,7 @@ CAFFE2_DEFINE_string(
     "separated numbers. If multiple input needed, use "
     "semicolon to separate the dimension of different "
     "tensors.");
-CAFFE2_DEFINE_string(
-    input_type,
-    "", "Input type (uint8_t/float)");
+CAFFE2_DEFINE_string(input_type, "", "Input type (uint8_t/float)");
 CAFFE2_DEFINE_string(
     output,
     "",
@@ -103,9 +101,13 @@ int main(int argc, char** argv) {
         workspace->CreateBlob(input_names[i])->Deserialize(blob_proto);
       }
     } else if (caffe2::FLAGS_input_dims.size() || caffe2::FLAGS_input_type.size()) {
-      CAFFE_ENFORCE_NE(0, caffe2::FLAGS_input_dims.size(),
+      CAFFE_ENFORCE_GE(
+          caffe2::FLAGS_input_dims.size(),
+          0,
           "Input dims must be specified when input tensors are used.");
-      CAFFE_ENFORCE_NE(0, caffe2::FLAGS_input_type.size(),
+      CAFFE_ENFORCE_GE(
+          caffe2::FLAGS_input_type.size(),
+          0,
           "Input type must be specified when input tensors are used.");
 
       vector<string> input_dims_list =
@@ -150,6 +152,9 @@ int main(int argc, char** argv) {
 
   // Run main network.
   CAFFE_ENFORCE(ReadProtoFromFile(caffe2::FLAGS_net, &net_def));
+  if (!net_def.has_name()) {
+    net_def.set_name("benchmark");
+  }
   // force changing engine and algo
   if (caffe2::FLAGS_force_engine) {
     LOG(INFO) << "force engine be: " << caffe2::FLAGS_engine;
@@ -167,6 +172,7 @@ int main(int argc, char** argv) {
   }
   caffe2::NetBase* net = workspace->CreateNet(net_def);
   CHECK_NOTNULL(net);
+  CAFFE_ENFORCE(net->Run());
   net->TEST_Benchmark(
       caffe2::FLAGS_warmup, caffe2::FLAGS_iter, caffe2::FLAGS_run_individual);